Duckdb docs
Search DuckDB and DuckLake documentation and blog posts. Returns relevant doc chunks for a question or keyword using full-text search against a locally cached index.From its SKILL.md
npx -y skills add Jylhis/skills --skill duckdb-docsAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
5.7 KB, ~1.4k tokens by cl100k_base, as published. Nobody here has run it
You are helping the user find relevant DuckDB or DuckLake documentation.
Query: $@
Follow these steps in order.
Step 1 — Check DuckDB is installed
command -v duckdb
If not found, delegate to /duckdb-skills:install-duckdb and then continue.
Step 2 — Ensure required extensions are installed
duckdb :memory: -c "INSTALL httpfs; INSTALL fts;"
If this fails, report the error and stop.
Step 3 — Choose the data source and extract search terms
The query is: $@
Data source selection
There are two search indexes available:
| Index | Remote URL | Local cache filename | Versions | Use when |
|---|---|---|---|---|
| DuckDB docs + blog | https://duckdb.org/data/docs-search.duckdb | duckdb-docs.duckdb | lts, current, blog | Default — any DuckDB question |
| DuckLake docs | https://ducklake.select/data/docs-search.duckdb | ducklake-docs.duckdb | stable, preview | Query mentions DuckLake, catalogs, or DuckLake-specific features |
Both indexes share the same schema:
| Column | Type | Description |
|---|---|---|
chunk_id | VARCHAR (PK) | e.g. stable/sql/functions/numeric#absx |
page_title | VARCHAR | Page title from front matter |
section | VARCHAR | Section heading (null for page intros) |
breadcrumb | VARCHAR | e.g. SQL > Functions > Numeric |
url | VARCHAR | URL path with anchor |
version | VARCHAR | See table above |
text | TEXT | Full markdown of the chunk |
By default, search DuckDB docs and filter to version = 'lts'. Use different versions when:
- The user explicitly asks about
current/nightly features →version = 'current' - The user asks about a blog post or wants background/motivation →
version = 'blog' - The user asks about DuckLake → search the DuckLake index with
version = 'stable' - When unsure, omit the version filter to search across all versions.
Search terms
If the input is a natural language question (e.g. "how do I find the most frequent value"), extract the key technical terms (nouns, function names, SQL keywords) to form a compact BM25 query string. Drop stop words like "how", "do", "I", "the".
If the input is already a function name or technical term (e.g. arg_max, GROUP BY ALL), use it as-is.
Use the extracted terms as SEARCH_QUERY in the next step.
Step 4 — Ensure local cache is fresh
The cache lives at $HOME/.duckdb/docs/CACHE_FILENAME (where CACHE_FILENAME is duckdb-docs.duckdb or ducklake-docs.duckdb per Step 3).
First, ensure the directory exists:
mkdir -p "$HOME/.duckdb/docs"
Then check whether the cache file exists and is fresh (≤2 days old):
CACHE_FILE="$HOME/.duckdb/docs/CACHE_FILENAME"
if [ -f "$CACHE_FILE" ]; then
MTIME=$(stat -f %m "$CACHE_FILE" 2>/dev/null || stat -c %Y "$CACHE_FILE")
CACHE_AGE_DAYS=$(( ( $(date +%s) - MTIME ) / 86400 ))
else
CACHE_AGE_DAYS=999
fi
echo "Cache age: $CACHE_AGE_DAYS days"
If CACHE_AGE_DAYS ≤ 2 → skip to Step 5.
Otherwise (stale or missing) → fetch the index:
duckdb -c "
LOAD httpfs;
LOAD fts;
ATTACH 'REMOTE_URL' AS remote (READ_ONLY);
ATTACH '$HOME/.duckdb/docs/CACHE_FILENAME.tmp' AS tmp;
COPY FROM DATABASE remote TO tmp;
" && mv "$HOME/.duckdb/docs/CACHE_FILENAME.tmp" "$HOME/.duckdb/docs/CACHE_FILENAME"
Replace REMOTE_URL and CACHE_FILENAME per Step 3. If the fetch fails (network error), report the error and stop.
Step 5 — Search the docs
duckdb "$HOME/.duckdb/docs/CACHE_FILENAME" -readonly -json -c "
LOAD fts;
SELECT
chunk_id, page_title, section, breadcrumb, url, version, text,
fts_main_docs_chunks.match_bm25(chunk_id, 'SEARCH_QUERY') AS score
FROM docs_chunks
WHERE score IS NOT NULL
AND version = 'VERSION'
ORDER BY score DESC
LIMIT 8;
"
Replace CACHE_FILENAME, SEARCH_QUERY, and VERSION per Step 3. Remove the AND version = 'VERSION' line if searching across all versions.
If the user's question could benefit from both DuckDB docs and blog results, run two queries (one with version = 'stable', one with version = 'blog') or omit the version filter entirely.
Step 6 — Handle errors
- Extension not installed (
httpfsorftsnot found): runduckdb :memory: -c "INSTALL httpfs; INSTALL fts;"and retry. - ATTACH fails / network unreachable: inform the user that the docs index is unavailable and suggest checking their internet connection. The DuckDB index is hosted at
https://duckdb.org/data/docs-search.duckdband the DuckLake index athttps://ducklake.select/data/docs-search.duckdb. - No results (all scores NULL or empty result set): try broadening the query — drop the least specific term, or try a single-word version of the query — then retry Step 5. If still no results, tell the user no matching documentation was found and suggest visiting https://duckdb.org/docs or https://ducklake.select/docs directly.
Step 7 — Present results
For each result chunk returned (ordered by score descending), format as:
### {section} — {page_title}
{url}
{text}
---
After presenting all chunks, synthesize a concise answer to the user's original question ($@) based on the retrieved documentation. If the chunks directly answer the question, lead with the answer before showing the sources.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.